YData Profiling Report

Brought to you by YData

Dataset statistics

Number of variables	19
Number of observations	1000
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	148.6 KiB
Average record size in memory	152.1 B

Variable types

Numeric	11
Categorical	7
DateTime	1

Alerts

`acs` is highly overall correlated with `avg_dmg` and 3 other fields	High correlation
`act` is highly overall correlated with `game_id` and 1 other fields	High correlation
`avg_dmg` is highly overall correlated with `acs` and 3 other fields	High correlation
`avg_dmg_delta` is highly overall correlated with `acs` and 3 other fields	High correlation
`deaths` is highly overall correlated with `kdr` and 1 other fields	High correlation
`episode` is highly overall correlated with `game_id` and 1 other fields	High correlation
`game_id` is highly overall correlated with `act` and 3 other fields	High correlation
`headshot_pct` is highly overall correlated with `game_id`	High correlation
`kdr` is highly overall correlated with `acs` and 4 other fields	High correlation
`kills` is highly overall correlated with `acs` and 3 other fields	High correlation
`outcome` is highly overall correlated with `round_losses` and 1 other fields	High correlation
`rank` is highly overall correlated with `act` and 2 other fields	High correlation
`round_losses` is highly overall correlated with `deaths` and 2 other fields	High correlation
`round_wins` is highly overall correlated with `outcome` and 1 other fields	High correlation
`agent` is highly imbalanced (65.8%)	Imbalance
`game_id` is uniformly distributed	Uniform
`game_id` has unique values	Unique
`assists` has 24 (2.4%) zeros	Zeros
`avg_dmg_delta` has 15 (1.5%) zeros	Zeros

Reproduction

Analysis started	2025-07-19 16:49:47.533765
Analysis finished	2025-07-19 16:50:06.391006
Duration	18.86 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

game_id
Real number (ℝ)

High correlation Uniform Unique

Distinct	1000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	500.5

Minimum	1
Maximum	1000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	1
5-th percentile	50.95
Q1	250.75
median	500.5
Q3	750.25
95-th percentile	950.05
Maximum	1000
Range	999
Interquartile range (IQR)	499.5

Descriptive statistics

Standard deviation	288.81944
Coefficient of variation (CV)	0.57706181
Kurtosis	-1.2
Mean	500.5
Median Absolute Deviation (MAD)	250
Skewness	0
Sum	500500
Variance	83416.667
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	0.1%
672	1	0.1%
659	1	0.1%
660	1	0.1%
661	1	0.1%
662	1	0.1%
663	1	0.1%
664	1	0.1%
665	1	0.1%
666	1	0.1%
Other values (990)	990	99.0%

Value	Count	Frequency (%)
1	1	0.1%
2	1	0.1%
3	1	0.1%
4	1	0.1%
5	1	0.1%
6	1	0.1%
7	1	0.1%
8	1	0.1%
9	1	0.1%
10	1	0.1%

Value	Count	Frequency (%)
1000	1	0.1%
999	1	0.1%
998	1	0.1%
997	1	0.1%
996	1	0.1%
995	1	0.1%
994	1	0.1%
993	1	0.1%
992	1	0.1%
991	1	0.1%

episode
Categorical

High correlation

Distinct	4
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

7	310
9	258
6	224
8	208

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1000
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	6
2nd row	6
3rd row	6
4th row	6
5th row	6

Common Values

Value	Count	Frequency (%)
7	310	31.0%
9	258	25.8%
6	224	22.4%
8	208	20.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
7	310	31.0%
9	258	25.8%
6	224	22.4%
8	208	20.8%

Most occurring characters

Value	Count	Frequency (%)
7	310	31.0%
9	258	25.8%
6	224	22.4%
8	208	20.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
7	310	31.0%
9	258	25.8%
6	224	22.4%
8	208	20.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
7	310	31.0%
9	258	25.8%
6	224	22.4%
8	208	20.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
7	310	31.0%
9	258	25.8%
6	224	22.4%
8	208	20.8%

act
Categorical

High correlation

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

3	412
1	346
2	242

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1000
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
3	412	41.2%
1	346	34.6%
2	242	24.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	412	41.2%
1	346	34.6%
2	242	24.2%

Most occurring characters

Value	Count	Frequency (%)
3	412	41.2%
1	346	34.6%
2	242	24.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	412	41.2%
1	346	34.6%
2	242	24.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	412	41.2%
1	346	34.6%
2	242	24.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	412	41.2%
1	346	34.6%
2	242	24.2%

rank
Categorical

High correlation

Distinct	14
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

Ascendant 1	179
Diamond 3	153
Diamond 1	126
Platinum 3	111
Gold 3	93
Other values (9)	338

Length

Max length	11
Median length	10
Mean length	9.271
Min length	6

Characters and Unicode

Total characters	9271
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Placement
2nd row	Placement
3rd row	Placement
4th row	Placement
5th row	Placement

Common Values

Value	Count	Frequency (%)
Ascendant 1	179	17.9%
Diamond 3	153	15.3%
Diamond 1	126	12.6%
Platinum 3	111	11.1%
Gold 3	93	9.3%
Diamond 2	78	7.8%
Platinum 1	66	6.6%
Ascendant 2	57	5.7%
Platinum 2	48	4.8%
Placement	24	2.4%
Other values (4)	65	6.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1	388	19.6%
3	364	18.4%
diamond	357	18.1%
ascendant	236	11.9%
platinum	225	11.4%
2	224	11.3%
gold	134	6.8%
placement	24	1.2%
silver	24	1.2%

Most occurring characters

Value	Count	Frequency (%)
n	1078	11.6%
	976	10.5%
a	842	9.1%
d	727	7.8%
i	606	6.5%
m	606	6.5%
o	491	5.3%
t	485	5.2%
l	407	4.4%
1	388	4.2%
Other values (13)	2665	28.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	9271	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	1078	11.6%
	976	10.5%
a	842	9.1%
d	727	7.8%
i	606	6.5%
m	606	6.5%
o	491	5.3%
t	485	5.2%
l	407	4.4%
1	388	4.2%
Other values (13)	2665	28.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	9271	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	1078	11.6%
	976	10.5%
a	842	9.1%
d	727	7.8%
i	606	6.5%
m	606	6.5%
o	491	5.3%
t	485	5.2%
l	407	4.4%
1	388	4.2%
Other values (13)	2665	28.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	9271	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	1078	11.6%
	976	10.5%
a	842	9.1%
d	727	7.8%
i	606	6.5%
m	606	6.5%
o	491	5.3%
t	485	5.2%
l	407	4.4%
1	388	4.2%
Other values (13)	2665	28.7%

date
Date

Distinct	300
Distinct (%)	30.0%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

Minimum	2023-04-11 00:00:00
Maximum	2024-11-12 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

agent
Categorical

Imbalance

Distinct	11
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

Cypher	719
Killjoy	230
Viper	17
Omen	10
KAY/O	9
Other values (6)	15

Length

Max length	9
Median length	6
Mean length	6.19
Min length	4

Characters and Unicode

Total characters	6190
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.2%

Sample

1st row	Cypher
2nd row	Cypher
3rd row	KAY/O
4th row	Brimstone
5th row	Cypher

Common Values

Value	Count	Frequency (%)
Cypher	719	71.9%
Killjoy	230	23.0%
Viper	17	1.7%
Omen	10	1.0%
KAY/O	9	0.9%
Brimstone	5	0.5%
Breach	3	0.3%
Vyse	3	0.3%
Astra	2	0.2%
Phoenix	1	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
cypher	719	71.9%
killjoy	230	23.0%
viper	17	1.7%
omen	10	1.0%
kay/o	9	0.9%
brimstone	5	0.5%
breach	3	0.3%
vyse	3	0.3%
astra	2	0.2%
phoenix	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
y	952	15.4%
e	759	12.3%
r	746	12.1%
p	736	11.9%
h	723	11.7%
C	719	11.6%
l	460	7.4%
i	253	4.1%
K	239	3.9%
o	236	3.8%
Other values (17)	367	5.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6190	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
y	952	15.4%
e	759	12.3%
r	746	12.1%
p	736	11.9%
h	723	11.7%
C	719	11.6%
l	460	7.4%
i	253	4.1%
K	239	3.9%
o	236	3.8%
Other values (17)	367	5.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6190	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
y	952	15.4%
e	759	12.3%
r	746	12.1%
p	736	11.9%
h	723	11.7%
C	719	11.6%
l	460	7.4%
i	253	4.1%
K	239	3.9%
o	236	3.8%
Other values (17)	367	5.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6190	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
y	952	15.4%
e	759	12.3%
r	746	12.1%
p	736	11.9%
h	723	11.7%
C	719	11.6%
l	460	7.4%
i	253	4.1%
K	239	3.9%
o	236	3.8%
Other values (17)	367	5.9%

map
Categorical

Distinct	11
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

Ascent	160
Lotus	143
Bind	142
Haven	119
Split	98
Other values (6)	338

Length

Max length	8
Median length	6
Mean length	5.369
Min length	4

Characters and Unicode

Total characters	5369
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Ascent
2nd row	Icebox
3rd row	Lotus
4th row	Ascent
5th row	Haven

Common Values

Value	Count	Frequency (%)
Ascent	160	16.0%
Lotus	143	14.3%
Bind	142	14.2%
Haven	119	11.9%
Split	98	9.8%
Sunset	86	8.6%
Icebox	62	6.2%
Pearl	60	6.0%
Fracture	53	5.3%
Breeze	44	4.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ascent	160	16.0%
lotus	143	14.3%
bind	142	14.2%
haven	119	11.9%
split	98	9.8%
sunset	86	8.6%
icebox	62	6.2%
pearl	60	6.0%
fracture	53	5.3%
breeze	44	4.4%

Most occurring characters

Value	Count	Frequency (%)
e	672	12.5%
t	540	10.1%
n	507	9.4%
s	455	8.5%
u	282	5.3%
c	275	5.1%
i	240	4.5%
a	232	4.3%
r	210	3.9%
o	205	3.8%
Other values (16)	1751	32.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5369	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	672	12.5%
t	540	10.1%
n	507	9.4%
s	455	8.5%
u	282	5.3%
c	275	5.1%
i	240	4.5%
a	232	4.3%
r	210	3.9%
o	205	3.8%
Other values (16)	1751	32.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5369	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	672	12.5%
t	540	10.1%
n	507	9.4%
s	455	8.5%
u	282	5.3%
c	275	5.1%
i	240	4.5%
a	232	4.3%
r	210	3.9%
o	205	3.8%
Other values (16)	1751	32.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5369	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	672	12.5%
t	540	10.1%
n	507	9.4%
s	455	8.5%
u	282	5.3%
c	275	5.1%
i	240	4.5%
a	232	4.3%
r	210	3.9%
o	205	3.8%
Other values (16)	1751	32.6%

outcome
Categorical

High correlation

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

Loss	497
Win	491
Draw	12

Length

Max length	4
Median length	4
Mean length	3.509
Min length	3

Characters and Unicode

Total characters	3509
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Loss
2nd row	Loss
3rd row	Win
4th row	Loss
5th row	Loss

Common Values

Value	Count	Frequency (%)
Loss	497	49.7%
Win	491	49.1%
Draw	12	1.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
loss	497	49.7%
win	491	49.1%
draw	12	1.2%

Most occurring characters

Value	Count	Frequency (%)
s	994	28.3%
L	497	14.2%
o	497	14.2%
W	491	14.0%
i	491	14.0%
n	491	14.0%
D	12	0.3%
r	12	0.3%
a	12	0.3%
w	12	0.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3509	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
s	994	28.3%
L	497	14.2%
o	497	14.2%
W	491	14.0%
i	491	14.0%
n	491	14.0%
D	12	0.3%
r	12	0.3%
a	12	0.3%
w	12	0.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3509	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
s	994	28.3%
L	497	14.2%
o	497	14.2%
W	491	14.0%
i	491	14.0%
n	491	14.0%
D	12	0.3%
r	12	0.3%
a	12	0.3%
w	12	0.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3509	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
s	994	28.3%
L	497	14.2%
o	497	14.2%
W	491	14.0%
i	491	14.0%
n	491	14.0%
D	12	0.3%
r	12	0.3%
a	12	0.3%
w	12	0.3%

round_wins
Real number (ℝ)

High correlation

Distinct	19
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.589

Minimum	0
Maximum	18
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	0
5-th percentile	4
Q1	8
median	13
Q3	13
95-th percentile	14
Maximum	18
Range	18
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.3599655
Coefficient of variation (CV)	0.31730716
Kurtosis	-0.1112912
Mean	10.589
Median Absolute Deviation (MAD)	1
Skewness	-0.94816072
Sum	10589
Variance	11.289368
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
13	437	43.7%
11	66	6.6%
10	65	6.5%
9	62	6.2%
8	57	5.7%
7	48	4.8%
6	42	4.2%
14	41	4.1%
5	40	4.0%
4	38	3.8%
Other values (9)	104	10.4%

Value	Count	Frequency (%)
0	1	0.1%
1	7	0.7%
2	13	1.3%
3	14	1.4%
4	38	3.8%
5	40	4.0%
6	42	4.2%
7	48	4.8%
8	57	5.7%
9	62	6.2%

Value	Count	Frequency (%)
18	1	0.1%
17	1	0.1%
16	3	0.3%
15	26	2.6%
14	41	4.1%
13	437	43.7%
12	38	3.8%
11	66	6.6%
10	65	6.5%
9	62	6.2%

round_losses
Real number (ℝ)

High correlation

Distinct	19
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.527

Minimum	0
Maximum	20
Zeros	3
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	8
median	13
Q3	13
95-th percentile	14
Maximum	20
Range	20
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.5527303
Coefficient of variation (CV)	0.33748745
Kurtosis	-0.013502633
Mean	10.527
Median Absolute Deviation (MAD)	1
Skewness	-0.99259358
Sum	10527
Variance	12.621893
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
13	455	45.5%
10	63	6.3%
9	59	5.9%
11	53	5.3%
8	51	5.1%
6	47	4.7%
14	44	4.4%
7	43	4.3%
4	37	3.7%
12	33	3.3%
Other values (9)	115	11.5%

Value	Count	Frequency (%)
0	3	0.3%
1	12	1.2%
2	18	1.8%
3	22	2.2%
4	37	3.7%
5	31	3.1%
6	47	4.7%
7	43	4.3%
8	51	5.1%
9	59	5.9%

Value	Count	Frequency (%)
20	1	0.1%
17	2	0.2%
16	4	0.4%
15	22	2.2%
14	44	4.4%
13	455	45.5%
12	33	3.3%
11	53	5.3%
10	63	6.3%
9	59	5.9%

kills
Real number (ℝ)

High correlation

Distinct	34
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.299

Minimum	1
Maximum	35
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	1
5-th percentile	7
Q1	12
median	15
Q3	19
95-th percentile	24
Maximum	35
Range	34
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	5.2531128
Coefficient of variation (CV)	0.34336315
Kurtosis	0.32793095
Mean	15.299
Median Absolute Deviation (MAD)	3
Skewness	0.25428029
Sum	15299
Variance	27.595194
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
15	76	7.6%
18	76	7.6%
14	76	7.6%
13	73	7.3%
16	72	7.2%
17	71	7.1%
12	70	7.0%
19	57	5.7%
11	50	5.0%
20	47	4.7%
Other values (24)	332	33.2%

Value	Count	Frequency (%)
1	2	0.2%
2	1	0.1%
3	7	0.7%
4	3	0.3%
5	8	0.8%
6	20	2.0%
7	28	2.8%
8	28	2.8%
9	39	3.9%
10	44	4.4%

Value	Count	Frequency (%)
35	2	0.2%
34	1	0.1%
33	2	0.2%
31	2	0.2%
30	1	0.1%
29	1	0.1%
28	4	0.4%
27	8	0.8%
26	6	0.6%
25	17	1.7%

deaths
Real number (ℝ)

High correlation

Distinct	27
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14.249

Minimum	0
Maximum	26
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	0
5-th percentile	7
Q1	13
median	15
Q3	17
95-th percentile	20
Maximum	26
Range	26
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.7243617
Coefficient of variation (CV)	0.26137706
Kurtosis	0.74452101
Mean	14.249
Median Absolute Deviation (MAD)	2
Skewness	-0.64610133
Sum	14249
Variance	13.87087
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
15	146	14.6%
16	136	13.6%
14	120	12.0%
17	107	10.7%
13	88	8.8%
18	66	6.6%
11	44	4.4%
12	44	4.4%
19	39	3.9%
10	36	3.6%
Other values (17)	174	17.4%

Value	Count	Frequency (%)
0	1	0.1%
1	1	0.1%
2	3	0.3%
3	5	0.5%
4	2	0.2%
5	9	0.9%
6	14	1.4%
7	29	2.9%
8	25	2.5%
9	34	3.4%

Value	Count	Frequency (%)
26	1	0.1%
25	2	0.2%
24	1	0.1%
23	1	0.1%
22	7	0.7%
21	14	1.4%
20	25	2.5%
19	39	3.9%
18	66	6.6%
17	107	10.7%

assists
Real number (ℝ)

Zeros

Distinct	18
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.656

Minimum	0
Maximum	20
Zeros	24
Zeros (%)	2.4%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	4
Q3	6
95-th percentile	9
Maximum	20
Range	20
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.656072
Coefficient of variation (CV)	0.57046221
Kurtosis	2.6753111
Mean	4.656
Median Absolute Deviation (MAD)	2
Skewness	1.0786992
Sum	4656
Variance	7.0547187
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
4	171	17.1%
3	155	15.5%
5	148	14.8%
6	115	11.5%
2	113	11.3%
7	89	8.9%
1	65	6.5%
8	51	5.1%
0	24	2.4%
9	20	2.0%
Other values (8)	49	4.9%

Value	Count	Frequency (%)
0	24	2.4%
1	65	6.5%
2	113	11.3%
3	155	15.5%
4	171	17.1%
5	148	14.8%
6	115	11.5%
7	89	8.9%
8	51	5.1%
9	20	2.0%

Value	Count	Frequency (%)
20	1	0.1%
18	2	0.2%
15	1	0.1%
14	4	0.4%
13	4	0.4%
12	7	0.7%
11	12	1.2%
10	18	1.8%
9	20	2.0%
8	51	5.1%

kdr
Real number (ℝ)

High correlation

Distinct	41
Distinct (%)	4.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.1784

Minimum	0.2
Maximum	9.7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	0.2
5-th percentile	0.5
Q1	0.8
median	1.1
Q3	1.4
95-th percentile	2.3
Maximum	9.7
Range	9.5
Interquartile range (IQR)	0.6

Descriptive statistics

Standard deviation	0.65678368
Coefficient of variation (CV)	0.55735207
Kurtosis	36.490696
Mean	1.1784
Median Absolute Deviation (MAD)	0.3
Skewness	4.0213995
Sum	1178.4
Variance	0.4313648
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
1.1	117	11.7%
0.8	110	11.0%
0.9	99	9.9%
1.2	69	6.9%
0.7	64	6.4%
1.3	61	6.1%
1	61	6.1%
0.6	58	5.8%
1.4	52	5.2%
1.5	43	4.3%
Other values (31)	266	26.6%

Value	Count	Frequency (%)
0.2	4	0.4%
0.3	9	0.9%
0.4	27	2.7%
0.5	40	4.0%
0.6	58	5.8%
0.7	64	6.4%
0.8	110	11.0%
0.9	99	9.9%
1	61	6.1%
1.1	117	11.7%

Value	Count	Frequency (%)
9.7	1	0.1%
6.5	1	0.1%
6	1	0.1%
4.5	1	0.1%
4.3	1	0.1%
4	1	0.1%
3.7	1	0.1%
3.6	1	0.1%
3.5	1	0.1%
3.3	1	0.1%

avg_dmg_delta
Real number (ℝ)

High correlation Zeros

Distinct	194
Distinct (%)	19.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.308

Minimum	-124
Maximum	293
Zeros	15
Zeros (%)	1.5%
Negative	404
Negative (%)	40.4%
Memory size	7.9 KiB

Quantile statistics

Minimum	-124
5-th percentile	-59
Q1	-20
median	9
Q3	39
95-th percentile	82.05
Maximum	293
Range	417
Interquartile range (IQR)	59

Descriptive statistics

Standard deviation	43.383791
Coefficient of variation (CV)	4.2087496
Kurtosis	1.7676368
Mean	10.308
Median Absolute Deviation (MAD)	30
Skewness	0.47937047
Sum	10308
Variance	1882.1533
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
21	16	1.6%
17	16	1.6%
30	16	1.6%
0	15	1.5%
-17	14	1.4%
-2	14	1.4%
2	14	1.4%
10	13	1.3%
22	12	1.2%
-13	12	1.2%
Other values (184)	858	85.8%

Value	Count	Frequency (%)
-124	1	0.1%
-99	1	0.1%
-98	1	0.1%
-89	1	0.1%
-88	1	0.1%
-87	1	0.1%
-86	1	0.1%
-85	1	0.1%
-81	1	0.1%
-77	2	0.2%

Value	Count	Frequency (%)
293	1	0.1%
190	1	0.1%
153	1	0.1%
152	1	0.1%
140	2	0.2%
136	1	0.1%
126	1	0.1%
123	1	0.1%
119	1	0.1%
117	1	0.1%

headshot_pct
Real number (ℝ)

High correlation

Distinct	54
Distinct (%)	5.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	22.763

Minimum	2
Maximum	63
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	2
5-th percentile	8
Q1	15
median	22
Q3	29
95-th percentile	40.05
Maximum	63
Range	61
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	9.9190331
Coefficient of variation (CV)	0.43575245
Kurtosis	0.36613888
Mean	22.763
Median Absolute Deviation (MAD)	7
Skewness	0.56162459
Sum	22763
Variance	98.387218
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	52	5.2%
18	42	4.2%
29	42	4.2%
22	42	4.2%
25	42	4.2%
15	38	3.8%
26	38	3.8%
19	37	3.7%
21	35	3.5%
27	34	3.4%
Other values (44)	598	59.8%

Value	Count	Frequency (%)
2	1	0.1%
3	4	0.4%
4	4	0.4%
5	9	0.9%
6	8	0.8%
7	7	0.7%
8	26	2.6%
9	16	1.6%
10	24	2.4%
11	24	2.4%

Value	Count	Frequency (%)
63	1	0.1%
61	1	0.1%
60	1	0.1%
57	2	0.2%
54	1	0.1%
52	1	0.1%
50	4	0.4%
48	1	0.1%
47	3	0.3%
46	2	0.2%

avg_dmg
Real number (ℝ)

High correlation

Distinct	167
Distinct (%)	16.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	134.446

Minimum	42
Maximum	373
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	42
5-th percentile	79
Q1	110
median	133
Q3	157
95-th percentile	192
Maximum	373
Range	331
Interquartile range (IQR)	47

Descriptive statistics

Standard deviation	35.199916
Coefficient of variation (CV)	0.26181453
Kurtosis	2.0209744
Mean	134.446
Median Absolute Deviation (MAD)	24
Skewness	0.5087467
Sum	134446
Variance	1239.0341
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
126	16	1.6%
140	16	1.6%
152	16	1.6%
145	16	1.6%
133	15	1.5%
100	15	1.5%
135	15	1.5%
144	15	1.5%
128	13	1.3%
113	13	1.3%
Other values (157)	850	85.0%

Value	Count	Frequency (%)
42	2	0.2%
52	1	0.1%
53	1	0.1%
55	1	0.1%
56	1	0.1%
57	1	0.1%
58	1	0.1%
60	2	0.2%
61	1	0.1%
62	1	0.1%

Value	Count	Frequency (%)
373	1	0.1%
284	1	0.1%
266	1	0.1%
251	1	0.1%
240	1	0.1%
229	1	0.1%
228	1	0.1%
221	2	0.2%
216	2	0.2%
211	1	0.1%

acs
Real number (ℝ)

High correlation

Distinct	245
Distinct (%)	24.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	205.382

Minimum	59
Maximum	572
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	59
5-th percentile	118.95
Q1	166
median	203
Q3	240
95-th percentile	299.05
Maximum	572
Range	513
Interquartile range (IQR)	74

Descriptive statistics

Standard deviation	56.539958
Coefficient of variation (CV)	0.27529169
Kurtosis	2.0060938
Mean	205.382
Median Absolute Deviation (MAD)	37
Skewness	0.55158094
Sum	205382
Variance	3196.7668
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
192	11	1.1%
183	11	1.1%
181	11	1.1%
147	10	1.0%
226	10	1.0%
240	10	1.0%
177	10	1.0%
194	10	1.0%
214	10	1.0%
184	10	1.0%
Other values (235)	897	89.7%

Value	Count	Frequency (%)
59	1	0.1%
67	1	0.1%
69	1	0.1%
70	1	0.1%
72	1	0.1%
74	1	0.1%
76	1	0.1%
80	2	0.2%
81	1	0.1%
82	1	0.1%

Value	Count	Frequency (%)
572	1	0.1%
493	1	0.1%
407	1	0.1%
381	1	0.1%
362	1	0.1%
352	1	0.1%
349	1	0.1%
344	1	0.1%
343	1	0.1%
341	1	0.1%

num_frag
Categorical

Distinct	5
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

2	225
4	209
3	207
5	181
1	178

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	5
3rd row	5
4th row	2
5th row	4

Common Values

Value	Count	Frequency (%)
2	225	22.5%
4	209	20.9%
3	207	20.7%
5	181	18.1%
1	178	17.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	225	22.5%
4	209	20.9%
3	207	20.7%
5	181	18.1%
1	178	17.8%

Most occurring characters

Value	Count	Frequency (%)
2	225	22.5%
4	209	20.9%
3	207	20.7%
5	181	18.1%
1	178	17.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	225	22.5%
4	209	20.9%
3	207	20.7%
5	181	18.1%
1	178	17.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	225	22.5%
4	209	20.9%
3	207	20.7%
5	181	18.1%
1	178	17.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	225	22.5%
4	209	20.9%
3	207	20.7%
5	181	18.1%
1	178	17.8%

	acs	act	agent	assists	avg_dmg	avg_dmg_delta	deaths	episode	game_id	headshot_pct	kdr	kills	map	num_frag	outcome	rank	round_losses	round_wins
acs	1.000	0.051	0.000	0.111	0.961	0.833	-0.147	0.000	-0.034	0.142	0.781	0.827	0.071	0.491	0.114	0.059	-0.156	0.204
act	0.051	1.000	0.255	0.049	0.076	0.000	0.053	0.398	0.616	0.158	0.055	0.066	0.157	0.059	0.000	0.520	0.000	0.053
agent	0.000	0.255	1.000	0.233	0.078	0.031	0.000	0.310	0.222	0.126	0.000	0.030	0.212	0.000	0.000	0.250	0.000	0.000
assists	0.111	0.049	0.233	1.000	0.126	0.092	0.188	0.046	-0.126	-0.184	0.029	0.161	0.049	0.037	0.140	0.067	-0.035	0.339
avg_dmg	0.961	0.076	0.078	0.126	1.000	0.848	-0.116	0.000	0.001	0.175	0.729	0.792	0.077	0.431	0.109	0.070	-0.131	0.197
avg_dmg_delta	0.833	0.000	0.031	0.092	0.848	1.000	-0.429	0.057	0.041	0.211	0.901	0.709	0.000	0.301	0.292	0.076	-0.413	0.407
deaths	-0.147	0.053	0.000	0.188	-0.116	-0.429	1.000	0.000	-0.047	-0.088	-0.515	0.100	0.041	0.016	0.447	0.051	0.742	-0.132
episode	0.000	0.398	0.310	0.046	0.000	0.057	0.000	1.000	0.903	0.365	0.000	0.055	0.338	0.000	0.000	0.595	0.000	0.024
game_id	-0.034	0.616	0.222	-0.126	0.001	0.041	-0.047	0.903	1.000	0.584	0.018	-0.011	0.213	0.054	0.000	0.504	0.022	-0.031
headshot_pct	0.142	0.158	0.126	-0.184	0.175	0.211	-0.088	0.365	0.584	1.000	0.190	0.155	0.134	0.082	0.000	0.180	-0.009	-0.007
kdr	0.781	0.055	0.000	0.029	0.729	0.901	-0.515	0.000	0.018	0.190	1.000	0.729	0.000	0.235	0.318	0.053	-0.481	0.473
kills	0.827	0.066	0.030	0.161	0.792	0.709	0.100	0.055	-0.011	0.155	0.729	1.000	0.018	0.420	0.222	0.000	0.031	0.416
map	0.071	0.157	0.212	0.049	0.077	0.000	0.041	0.338	0.213	0.134	0.000	0.018	1.000	0.061	0.077	0.130	0.023	0.000
num_frag	0.491	0.059	0.000	0.037	0.431	0.301	0.016	0.000	0.054	0.082	0.235	0.420	0.061	1.000	0.030	0.039	0.041	0.000
outcome	0.114	0.000	0.000	0.140	0.109	0.292	0.447	0.000	0.000	0.000	0.318	0.222	0.077	0.030	1.000	0.000	0.739	0.715
rank	0.059	0.520	0.250	0.067	0.070	0.076	0.051	0.595	0.504	0.180	0.053	0.000	0.130	0.039	0.000	1.000	0.000	0.000
round_losses	-0.156	0.000	0.000	-0.035	-0.131	-0.413	0.742	0.000	0.022	-0.009	-0.481	0.031	0.023	0.041	0.739	0.000	1.000	-0.521
round_wins	0.204	0.053	0.000	0.339	0.197	0.407	-0.132	0.024	-0.031	-0.007	0.473	0.416	0.000	0.000	0.715	0.000	-0.521	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	game_id	episode	act	rank	date	agent	map	outcome	round_wins	round_losses	kills	deaths	assists	kdr	avg_dmg_delta	headshot_pct	avg_dmg	acs	num_frag
0	1	6	2	Placement	4/11/2023	Cypher	Ascent	Loss	5	13	8	15	4	0.5	-61	3	76	125	3
1	2	6	2	Placement	4/12/2023	Cypher	Icebox	Loss	4	13	3	15	2	0.2	-124	22	42	59	5
2	3	6	2	Placement	4/15/2023	KAY/O	Lotus	Win	13	4	7	12	7	0.6	-46	2	87	132	5
3	4	6	2	Placement	4/15/2023	Brimstone	Ascent	Loss	9	13	18	12	10	1.5	23	14	137	230	2
4	5	6	2	Placement	4/15/2023	Cypher	Haven	Loss	1	13	6	14	3	0.4	-75	7	90	146	4
5	6	6	2	Silver 2	4/15/2023	KAY/O	Haven	Win	13	10	16	15	18	1.1	19	10	155	234	3
6	7	6	2	Silver 2	4/15/2023	Cypher	Pearl	Loss	3	13	7	15	5	0.5	-43	11	112	145	4
7	8	6	2	Silver 2	4/15/2023	KAY/O	Icebox	Loss	4	13	8	15	4	0.5	-70	3	73	119	5
8	9	6	2	Silver 2	4/16/2023	Cypher	Pearl	Loss	10	13	14	17	4	0.8	-32	9	99	160	4
9	10	6	2	Silver 2	4/16/2023	Phoenix	Fracture	Win	13	4	16	7	6	2.3	111	8	211	284	2

	game_id	episode	act	rank	date	agent	map	outcome	round_wins	round_losses	kills	deaths	assists	kdr	avg_dmg_delta	headshot_pct	avg_dmg	acs	num_frag
990	991	9	3	Diamond 2	11/7/2024	Cypher	Abyss	Loss	7	13	21	15	2	1.4	5	33	160	279	1
991	992	9	3	Diamond 2	11/7/2024	Omen	Bind	Loss	7	13	12	16	7	0.8	-26	57	108	174	3
992	993	9	3	Diamond 2	11/9/2024	Cypher	Ascent	Loss	4	13	7	14	0	0.5	-59	29	73	109	4
993	994	9	3	Diamond 2	11/10/2024	Omen	Ascent	Loss	8	13	14	14	11	1.0	-19	30	127	191	3
994	995	9	3	Diamond 2	11/10/2024	Omen	Split	Loss	5	13	11	15	4	0.7	-38	15	113	187	3
995	996	9	3	Diamond 2	11/11/2024	Astra	Pearl	Win	13	9	17	13	8	1.3	30	19	133	212	4
996	997	9	3	Diamond 2	11/11/2024	Omen	Ascent	Loss	11	13	27	14	11	1.9	41	28	176	299	1
997	998	9	3	Diamond 2	11/11/2024	Astra	Pearl	Loss	6	13	12	16	5	0.8	0	47	143	194	2
998	999	9	3	Diamond 2	11/12/2024	Omen	Split	Win	13	10	18	13	8	1.4	26	31	134	214	5
999	1000	9	3	Diamond 2	11/12/2024	Viper	Bind	Loss	7	13	8	17	4	0.5	-71	18	87	130	4

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)